Co-expression networks in Chlamydomonas reveal significant rhythmicity in batch cultures and empower gene function discovery.

ABSTRACT: The unicellular green alga Chlamydomonas reinhardtii is a choice reference system for the study of photosynthesis and chloroplast metabolism, cilium assembly and function, lipid and starch metabolism, and metal homeostasis. Despite decades of research, the functions of thousands of genes remain largely unknown, and new approaches are needed to categorically assign genes to cellular pathways. Growing collections of transcriptome and proteome data now allow a systematic approach based on integrative co-expression analysis. We used a dataset comprising 518 deep transcriptome samples derived from 58 independent experiments to identify potential co-expression relationships between genes. We visualized co-expression potential with the R package corrplot, to easily assess co-expression and anti-c

SUBMITTER: Salome PA 

PROVIDER: S-EPMC8226298 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature